Evidence map›Paper›PMID 33594478›Full record

ArticleBulletin of mathematical biology2021

On the Threshold of Release of Confinement in an Epidemic SEIR Model Taking into Account the Protective Effect of Mask.

Pierre Auger, Ali Moussaoui

Abstract read
In one paragraph

Article in Bulletin of mathematical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Pierre AugerIRD, UMI 209 UMMISCO, Bondy, France. pierre.auger@ird.fr.
Ali MoussaouiLaboratoire d'Analyse Non linéaire et Mathématiques Appliquées, Department of Mathematics, Faculty of Sciences, University of Tlemcen, Tlemcen, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We present a classic SEIR model taking into account the daily movements of individuals in different places. The model also takes into account partial confinement of individuals. This model is coupled with a model of protection against the epidemic by the use of masks. We are studying the effects of combined confinement and protection measures on the dynamics of the epidemic. We consider a constant proportion of asymptomatic people. We assume that symptomatic infected people may change their urban travel behavior due to the disease which causes them to travel less to places where they used to move and to stay at home more often. We present a sensitivity study with respect to the parameters. We show that the combination of the use of masks with almost complete release of confinement makes it possible to avoid the occurrence of a secondary peak of the epidemic. The model predicts that a total release of confinement can be successful for an epidemic of [Formula: see text] if on average a proportion of [Formula: see text] of the population wears masks of [Formula: see text] efficacy. However, if [Formula: see text] of the population remains confined, the same goal can be achieved with a proportion of [Formula: see text] of the population wearing masks with efficacy of the order of [Formula: see text].

Indexed as

Models, BiologicalSARS-CoV-2Asymptomatic InfectionsCOVID-19Disease SusceptibilityEpidemicsHumansMasksMathematical ConceptsPandemicsQuarantineTravelUrban PopulationConfinementCovid-19Mask protectionSEIR modelUrban mobility

Identifiers

PMID33594478
PMCPMC7886608

What OpenQuestion holds

Textmetadata
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.